- Title
- Modeling tree canopy height using machine learning over mixed vegetation landscapes
- Creators
- Hui Wang - University of IdahoTravis Seaborn - University of IdahoZhe Wang - University of IdahoChristopher C Caudill - University of IdahoTimothy E Link - University of Idaho
- Publication Details
- International Journal of Applied Earth Observation and Geoinformation, Vol.101, p.102353
- Identifiers
- 996631747101851
- Academic Unit
- Fish and Wildlife Sciences; Idaho Experimental Partnership to Stimulate Competitive Research; Rangeland Center; Forest, Rangeland, and Fire Sciences
- Language
- English
- Resource Type
- Journal article
Journal article
Modeling tree canopy height using machine learning over mixed vegetation landscapes
International Journal of Applied Earth Observation and Geoinformation, Vol.101, p.102353
2021
Metrics
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